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Pengyi Shi
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Models and insights for hospital inpatient operations: Time-dependent ED boarding time
P Shi, MC Chou, JG Dai, D Ding, J Sim
Management Science 62 (1), 1-28, 2016
234*2016
Inpatient overflow: An approximate dynamic programming approach
JG Dai, P Shi
Manufacturing & Service Operations Management 21 (4), 894-911, 2019
1052019
The impact of mass gatherings and holiday traveling on the course of an influenza pandemic: a computational model
P Shi, P Keskinocak, JL Swann, BY Lee
BMC public health 10, 1-12, 2010
892010
A two-time-scale approach to time-varying queues in hospital inpatient flow management
JG Dai, P Shi
Operations Research 65 (2), 514-536, 2017
812017
Descriptive study of case scheduling and cancellations within 1 week of the day of surgery
F Dexter, P Shi, RH Epstein
Anesthesia & Analgesia 115 (5), 1188-1195, 2012
742012
Timing it right: Balancing inpatient congestion vs. readmission risk at discharge
P Shi, JE Helm, J Deglise-Hawkinson, J Pan
Operations Research 69 (6), 1842-1865, 2021
502021
Modelling seasonality and viral mutation to predict the course of an influenza pandemic
P Shi, P Keskinocak, JL Swann, BY Lee
Epidemiology & Infection 138 (10), 1472-1481, 2010
432010
Comparing policies for case scheduling within 1 day of surgery by Markov chain models
P Shi, F Dexter, RH Epstein
Anesthesia & Analgesia 122 (2), 526-538, 2016
402016
An efficient pessimistic-optimistic algorithm for stochastic linear bandits with general constraints
X Liu, B Li, P Shi, L Ying
Advances in Neural Information Processing Systems 34, 24075-24086, 2021
30*2021
Off-service placement in inpatient ward network: Resource pooling versus service slowdown
J Dong, P Shi, F Zheng, X Jin
Columbia Business School Research Paper Forthcoming, 2019
30*2019
Patient flow from emergency department to inpatient wards: Empirical observations from a Singaporean hospital
P Shi, J Dai, D Ding, SK Ang, M Chou, X Jin, J Sim
Available at SSRN 2517050, 2014
302014
A survey on skill-based routing with applications to service operations management
J Chen, J Dong, P Shi
Queueing Systems 96, 53-82, 2020
262020
Group-aware threshold adaptation for fair classification
T Jang, P Shi, X Wang
Proceedings of the AAAI Conference on Artificial Intelligence 36 (6), 6988-6995, 2022
242022
Recent modeling and analytical advances in hospital inpatient flow management
JG Dai, P Shi
Production and Operations Management 30 (6), 1838-1862, 2021
182021
Operations (management) warp speed: Rapid deployment of hospital‐focused predictive/prescriptive analytics for the COVID‐19 pandemic
P Shi, JE Helm, C Chen, J Lim, RP Parker, T Tinsley, J Cecil
Production and Operations Management 32 (5), 1433-1452, 2023
152023
Steady‐state diffusion approximations for discrete‐time queue in hospital inpatient flow management
J Feng, P Shi
Naval Research Logistics (NRL) 65 (1), 26-65, 2018
132018
POND: Pessimistic-optimistic online dispatch
X Liu, B Li, P Shi, L Ying
arXiv preprint arXiv:2010.09995, 2020
112020
Stochastic modeling and decision making in two healthcare applications: Inpatient flow management and influenza pandemics
P Shi
Georgia Institute of Technology, 2013
92013
Pond: Pessimistic-optimistic online dispatching
X Liu, B Li, P Shi, L Ying
arXiv preprint arXiv:2010.09995, 2020
72020
Structural estimation of load balancing behavior in inpatient ward network
J Dong, P Shi, F Zheng, X Jin
Working paper, 2020
72020
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Articles 1–20